This article examines how Japanese university educators understand the role of Global Citizenship Education (GCE) in higher education. Data were collected by means of questionnaires and responsive interviews with 22 educators, then analyzed with the use of grounded theory and the constant comparative method. Four notions of GCE emerged from the data. The Japanese educators expressed the opinion that GCE must (1) foster students' sense of social efficiency and economic growth; (2) enhance their English-language proficiency to prepare them for work in the global market; (3) encourage overseas experiences to support them in acquiring global consciousness; and (4) develop students' understanding of different countries. Based on the findings, the study suggests that educators' approaches to GCE in Japan are generally oriented toward neoliberal notions of GCE aimed at fostering global human resources rather than critical global citizens. In contrast, this paper concludes by proposing a critical framework informed by the values of critical pedagogy ingrained in social justice to teach GCE in Japanese universities. This approach to GCE challenges dominant neoliberal notions of the linkages between globalization and education and orients learners toward social justice.Using prismatic inquiry, a team of researchers documented a variety of personal experiences that spanned elementary through higher education, with the goal of determining what helped and what was needed to improve the adaptability of our educational system during the Covid-19 emergency. Three analytical teams identified that students remained at the heart of the conversation, supported by leadership, teachers, parents, and the students themselves. Furthermore, all four groups needed, in differing ways (a) connection, (b) voice, (c) social-emotional skills, and (d) academic knowledge.Covid-19 has rendered education "remote", opening a chasm in space and time between teachers and students, between how teaching and learning was practiced before and how it is practiced now and for the foreseeable, uncertain future. As many educators find themselves both locked in and locked out, this article seeks to sort through the implications of this remoteness. The article builds on the work of William F. Pinar and George Grant, to argue that technology is an ontology shaping how we encounter who we are and the world in which we live. Caught within the tightening circle of a Covid-19 environment predicated on keeping our distance from one another, while we are connecting technologically, at risk is the complicated conversation, as well as attunement, that lie at the heart of teaching, even as teachers know that it is only through improvisational variations on these that one can hope to chart an ethical course forward.Starting with 2020 volume, the journal Metron has decided to celebrate the centenary since its foundation with three special issues. This volume is dedicated to robust statistics. A striking feature of most applied statistical analyses is the use of methods that are well known to be sensitive to outliers or to other departures from the postulated model. Robust statistical methods provide useful tools for reducing this sensitivity, through the detection of the outliers by first fitting the majority of the data and then by flagging deviant data points. The six papers in this issue cover a wide orientation in all fields of robustness. This editorial first provides some facts about the history and current state of robust statistics and then summarizes the contents of each paper.We prove new upper bounds on the number of representations of rational numbers m n as a sum of four unit fractions, giving five different regions, depending on the size of m in terms of n . In particular, we improve the most relevant cases, when m is small, and when m is close to n . The improvements stem from not only studying complete parametrizations of the set of solutions, but simplifying this set appropriately. Certain subsets of all parameters define the set of all solutions, up to applications of divisor functions, which has little impact on the upper bound of the number of solutions. These 'approximate parametrizations' were the key point to enable computer programmes to filter through a large number of equations and inequalities. Furthermore, this result leads to new upper bounds for the number of representations of rational numbers as sums of more than four unit fractions.The spread of a novel coronavirus SARS-CoV-2 and a resulting COVID19 disease in late 2019 has transformed into a worldwide pandemic and has effectively brought the world to a halt. https://www.selleckchem.com/products/leukadherin-1.html Proteases 3CLpro and PLpro, responsible for proteolysis of new virions, represent vital inhibition targets for the COVID19 treatment. Herein, we report an in silico docking study of more than 860 COVID19-related compounds from the PubChem database. Molecular dynamic simulations were carried out to validate the conformation stability of compound-ligand complexes with best docking scores. The MM-PBSA approach was employed to calculate binding free energies. The comparison with ca. 50 previously reported potential SARS-CoV-2's proteases inhibitors show a number of new compounds with excellent binding affinities. Anti-inflammatory drugs Montelukast, Ebastine and Solumedrol, the anti-migraine drug Vazegepant or the anti-MRSA pro-drug TAK-599, among many others, all show remarkable affinities to 3CLpro and with known side effects present candidates for immediate clinical trials. This study reports thorough docking scores summary of COVID19-related compounds found in the PubChem database and illustrates the asset of computational screening methods in search for possible drug-like candidates. Several yet-untested compounds show affinities on par with reported inhibitors and warrant further attention. Furthermore, the submitted work provides readers with ADME data, ZINC and PubChem IDs, as well as docking scores of all studied compounds for further comparisons.Electrodes fabricated on a flexible substrate are a revolutionary development in wearable health monitoring due to their lightweight, breathability, comfort, and flexibility to conform to the curvilinear body shape. Different metallic thin-film and plastic-based substrates lack comfort for long-term monitoring applications. However, the insulating nature of different polymer, fiber, and textile substrates requires the deposition of conductive materials to render interactive functionality to substrates. Besides, the high porosity and flexibility of fiber and textile substrates pose a great challenge for the homogenous deposition of active materials. Printing is an excellent process to produce a flexible conductive textile electrode for wearable health monitoring applications due to its low cost and scalability. This article critically reviews the current state of the art of different textile architectures as a substrate for the deposition of conductive nanomaterials. Furthermore, recent progress in various printing processes of nanomaterials, challenges of printing nanomaterials on textiles, and their health monitoring applications are described systematically.